Job Description & How to Apply Below
Key Responsibilities
1. Maintain and Support Legacy Data Estate (50–60%)
Manage and optimise SQL Server databases, SSIS packages, SSRS reports, and T‑SQL code.
Perform routine database administration (performance tuning, security, backups, resilience).
Troubleshoot data issues affecting reporting and Power BI.
2. Build the Future Data Platform (40–50%)
Contribute to data platform design and implementation.
Develop and support data pipelines for analytics and reporting.
Apply solid data modelling for BI and semantic models.
Prepare high‑quality datasets for AI/ML use cases.
Support migration from SQL Server to cloud data-lake and contribute to data standards and best practices.
Required
Skills & Experience:
Essential
Strong SQL Server experience in production BI environments
Hands‑on skills with SSIS, SSRS, T‑SQL development
Data modelling for analytics and Power BI dataset performance
Strong troubleshooting across data pipelines and databases
Comfortable owning business‑critical systems
Desirable
Experience or interest in cloud data lakes
Exposure to Azure or other cloud platforms
Knowledge of ELT / analytics engineering
Experience preparing data for AI/ML
Python or scripting for automation
Understanding of data governance and quality concepts
Qualities We’re Looking For
Pragmatic engineer who balances stability with innovation
Comfortable working in a transitioning data landscape
Strong communicator across technical and non‑technical teams
Continuous learner with interest in modern data platforms and AI
Position Requirements
10+ Years
work experience
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